/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.util.normalize.output.nominal; import java.util.ArrayList; import java.util.List; import org.encog.util.normalize.input.InputField; import org.encog.util.normalize.input.InputFieldCSVText; import org.encog.util.normalize.output.BasicOutputField; /** * An output field that uses the "on of" technique to represent input data. For * example, if there were five nominal items, or classes, given then each one * would be represented by a single output neuron that would be on or off. * * Often the OutputEquilateral class is a better choice to represent nominal * items. * */ public class OutputOneOf extends BasicOutputField { /** * The nominal items to represent. */ private final List<NominalItem> items = new ArrayList<NominalItem>(); /** * What is the true value, often just "1". */ private double trueValue; /** * What is the true value, often just "0" or "-1". */ private double falseValue; /** * Default constructor for reflection. */ public OutputOneOf() { this(1,-1); } /** * Construct a one-of field and specify the true and false value. * * @param trueValue * The true value. * @param falseValue * The false value. */ public OutputOneOf(final double trueValue, final double falseValue) { this.trueValue = trueValue; this.falseValue = falseValue; } /** * Base the field on a csv text field. * @param csv The field. * @param trueValue * The true value. * @param falseValue * The false value. */ public OutputOneOf(InputFieldCSVText csv, final double trueValue, final double falseValue) { this.trueValue = trueValue; this.falseValue = falseValue; for(String s: csv.getMappings().keySet() ) { addItem(csv,csv.getMappings().get(s)); } } /** * Add a nominal value specifying a single value, the high and low values * will be 0.5 below and 0.5 above. * * @param inputField The input field to use. * @param value The value to calculate the high and low values off of. */ public void addItem(final InputField inputField, final double value) { addItem(inputField, value - 0.5, value + 0.5); } /** * Add a nominal item, specify the low and high values. * * @param inputField The input field to base everything from. * @param low The high value for this nominal item. * @param high The low value for this nominal item. */ public void addItem(final InputField inputField, final double low, final double high) { final NominalItem item = new NominalItem(inputField, low, high); this.items.add(item); } /** * Calculate the value for the specified subfield. * * @param subfield * The subfield to calculate for. * @return The calculated value for this field. */ public double calculate(final int subfield) { final NominalItem item = this.items.get(subfield); return item.isInRange() ? this.trueValue : this.falseValue; } /** * @return The false value. */ public double getFalseValue() { return this.falseValue; } /** * @return The number of subfields, or nominal classes. */ public int getSubfieldCount() { return this.items.size(); } /** * @return The true value. */ public double getTrueValue() { return this.trueValue; } /** * Not needed for this sort of output field. */ public void rowInit() { } }